1-20 of 70
Machine learning
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Integrating Graph Retrieval Augmented Generation with Large Language Models for Supplier Discovery

Accepted Manuscript
Yunqing Li, Hyunwoong Ko, Farhad Ameri
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1217
https://doi.org/10.1115/1.4067389
Published Online: December 11, 2024
View Article titled, Integrating Graph Retrieval Augmented Generation with Large Language Models for Supplier Discovery
Open the PDF for Integrating Graph Retrieval Augmented Generation with Large Language Models for Supplier Discovery in another window
Topics: Large language models, Supply chains, Artificial intelligence, Construction, Engineering systems and industry applications, Machine learning, Manufacturing, Manufacturing automation, Natural language processing, Ontologies
Journal Articles

Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing

Tsegai O. Yhdego, Hui Wang, Hongmei Chi, Zhibin Yu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011006.
Paper No: JCISE-24-1108
https://doi.org/10.1115/1.4067086
Published Online: December 6, 2024
View Article titled, Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing
Open the PDF for Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing in another window
Topics: Ontologies, Algorithms, Optimization, Noise (Sound), Manufacturing, Machine learning
Journal Articles

Understanding the Impact of Applying Large Language Model in Engineering Design Education

Accepted Manuscript
Chonghui Zhang, Yaoyao Fiona Zhao, Randy El Haddad
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1218
https://doi.org/10.1115/1.4067318
Published Online: December 5, 2024
View Article titled, Understanding the Impact of Applying Large Language Model in Engineering Design Education
Open the PDF for Understanding the Impact of Applying Large Language Model in Engineering Design Education in another window
Topics: Computer-aided design, Education, Engineering design, Large language models, Modeling, Artificial intelligence, Chatgpt, Design, Design education, Design engineering
Journal Articles

Large Language Models in Design and Manufacturing

Accepted Manuscript
Yaoyao Fiona Zhao, Evangelos Niforatos, Tonya Custis, Yan Lu, Jianxi Luo
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1611
https://doi.org/10.1115/1.4067319
Published Online: December 5, 2024
View Article titled, Large Language Models in Design and Manufacturing
Open the PDF for Large Language Models in Design and Manufacturing in another window
Topics: Design, Large language models, Manufacturing, Engineering design, Engineering systems and industry applications, Engineers, Innovation, Machine learning, Natural language processing, Teams
Journal Articles

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation

Accepted Manuscript
Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1230
https://doi.org/10.1115/1.4067333
Published Online: December 5, 2024
View Article titled, DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Open the PDF for DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation in another window
Topics: Large language models, Design, Computer-aided design, Engineering drawings, Artificial intelligence, Engineering design processes, Engineering systems and industry applications, Engineers, Machine learning, Student competitions
Journal Articles

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

Accepted Manuscript
Vispi Karkaria, Jie Chen, Christopher Luey, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1419
https://doi.org/10.1115/1.4067270
Published Online: November 26, 2024
View Article titled, A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
Open the PDF for A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring in another window
Topics: Digital twin, Machine learning, Maintenance, Tires
Journal Articles

Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes

Accepted Manuscript
Mahathir Mohammad Bappy, Durant Fullington, Linkan Bian, Wenmeng Tian
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-23-1270
https://doi.org/10.1115/1.4067210
Published Online: November 21, 2024
View Article titled, Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes
Open the PDF for Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes in another window
Topics: Additive manufacturing, Convolutional neural networks, Data privacy, Engineering systems and industry applications, Intellectual property, Internet of things, Machine learning, Metals, Modeling, Preservation
Journal Articles

Multi-Task Learning for Intention and Trajectory Prediction in Human-Robot Collaborative Disassembly Tasks

Accepted Manuscript
Xinyao Zhang, Sibo Tian, Xiao Liang, Minghui Zheng, Sara Behdad
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1293
https://doi.org/10.1115/1.4067157
Published Online: November 14, 2024
View Article titled, Multi-Task Learning for Intention and Trajectory Prediction in Human-Robot Collaborative Disassembly Tasks
Open the PDF for Multi-Task Learning for Intention and Trajectory Prediction in Human-Robot Collaborative Disassembly Tasks in another window
Topics: Robots, Trajectories (Physics), Support vector machines, Artificial intelligence, Engineering systems and industry applications, Feature extraction, Human-robot collaboration, Machine learning, Manufacturing, Robot motion
Journal Articles

Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm

Yiwei Dong, Yuhan Gong, Xu Bo, Zhiyong Tan
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011003.
Paper No: JCISE-24-1059
https://doi.org/10.1115/1.4066855
Published Online: November 12, 2024
View Article titled, Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm
Open the PDF for Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm in another window
Topics: Algorithms, Errors, Optimization algorithms, Turbine blades, Blades, Statistics, Casting, Simulation, Machine learning, Particle swarm optimization
Journal Articles

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Atharv P. Deshmankar, Jagat Sesh Challa, Amit R. Singh, Srinivasa Prakash Regalla
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2024, 24(12): 120801.
Paper No: JCISE-24-1227
https://doi.org/10.1115/1.4066575
Published Online: October 14, 2024
View Article titled, A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing
Open the PDF for A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing in another window
Topics: Additive manufacturing, Machine learning, Mechanical properties
Journal Articles

Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

John G. Michopoulos, Anindya Bhaduri, Francisco Chinesta, Elias Cueto, Dehao Liu, Sandipp Krishnan Ravi, Jian-Xun Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 110301.
Paper No: JCISE-24-1524
https://doi.org/10.1115/1.4066791
Published Online: October 10, 2024
View Article titled, Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems
Open the PDF for Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems in another window
Topics: Machine learning, Manufacturing, Physics
Journal Articles

Machine-Learning Metacomputing for Materials Science Data

J. C. Steuben, A. B. Geltmacher, S. N. Rodriguez, A. J. Birnbaum, B. D. Graber, A. K. Rawlings, A. P. Iliopoulos, J. G. Michopoulos
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111005.
Paper No: JCISE-23-1439
https://doi.org/10.1115/1.4064975
Published Online: July 22, 2024
View Article titled, Machine-Learning Metacomputing for Materials Science Data
Open the PDF for Machine-Learning Metacomputing for Materials Science Data in another window
Topics: Electron backscatter diffraction, Machine learning, Materials science, Noise (Sound), Modeling, Errors, Maintenance, Simulation
Journal Articles

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Ricardo Ortiz, Piedad Miranda-Chiquito, Angel Encalada-Davila, Luis E. Marquez, Christian Tutiven, Eleni Chatzi, Christian E. Silva
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091002.
Paper No: JCISE-24-1035
https://doi.org/10.1115/1.4065777
Published Online: July 5, 2024
View Article titled, An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning
Open the PDF for An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning in another window
Topics: Bearings, Modeling, Algorithms, Simulation, Signals, Machine learning, Machinery
Journal Articles

ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications

Accepted Manuscript
Chandan Kumar Sahu, Rahul Rai, Margaret Wiecek, David Gorsich
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1069
https://doi.org/10.1115/1.4065786
Published Online: June 24, 2024
View Article titled, ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications
Open the PDF for ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications in another window
Topics: Semantics, Tree (Data structure), Algorithms, Cyber-physical systems, Design, Machine learning, Natural language processing, Systems engineering
Journal Articles

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

Yindong Shen, Yaru Ge
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090903.
Paper No: JCISE-23-1316
https://doi.org/10.1115/1.4064666
Published Online: June 7, 2024
View Article titled, Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM
Open the PDF for Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM in another window
Topics: Batteries, Lead-acid batteries, Machine learning, Errors, Temperature
Journal Articles

Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition

Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051010.
Paper No: JCISE-23-1358
https://doi.org/10.1115/1.4065090
Published Online: April 1, 2024
View Article titled, Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
Open the PDF for Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition in another window
Topics: Additive manufacturing, Knowledge transfer, Machine learning, Lasers, Metals
Journal Articles

Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts

J. C. Steuben, A. B. Geltmacher, S. N. Rodriguez, B. D. Graber, A. P. Iliopoulos, J. G. Michopoulos
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051009.
Paper No: JCISE-23-1355
https://doi.org/10.1115/1.4064986
Published Online: March 27, 2024
View Article titled, Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts
Open the PDF for Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts in another window
Topics: Machine learning, Simulation, Modeling, X-rays
Journal Articles

A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications

Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061002.
Paper No: JCISE-23-1406
https://doi.org/10.1115/1.4064478
Published Online: March 5, 2024
View Article titled, A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications
Open the PDF for A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications in another window
Topics: Algorithms, Computers, Machine learning, Vortices, Flow (Dynamics), Artificial neural networks
Journal Articles

Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning

Zehao Ye, Xin Liu, Bo Peng, Chen Kan
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060901.
Paper No: JCISE-23-1224
https://doi.org/10.1115/1.4064147
Published Online: February 5, 2024
View Article titled, Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning
Open the PDF for Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning in another window
Topics: Additive manufacturing, Deflection, Heat, Mechanical behavior, Metamaterials, Stress, Quality control, Geometry, Machine learning, Modeling
Journal Articles

Deep Learning in Computational Design Synthesis: A Comprehensive Review

Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 040801.
Paper No: JCISE-23-1408
https://doi.org/10.1115/1.4064215
Published Online: January 8, 2024
View Article titled, Deep Learning in Computational Design Synthesis: A Comprehensive Review
Open the PDF for Deep Learning in Computational Design Synthesis: A Comprehensive Review in another window
Topics: Artificial neural networks, Design, Machine learning, Dimensions